Subjects: ANIMAIS, INFERÊNCIA BAYESIANA, GENOMAS, GENÔMICA, FENÓTIPOS, POLIMORFISMO, GADO
ABNT
LOPES, F. B. et al. Genome-enabled prediction of meat and carcass traits using Bayesian regression, single-step genomic best linear unbiased prediction and blending methods in Nelore cattle. Animal, v. 15, n. 1, p. 1-7, 2021Tradução . . Disponível em: https://doi.org/10.1016/j.animal.2020.100006. Acesso em: 16 out. 2024.APA
Lopes, F. B., Baldi, F., Passafaro, T. L., Brunes, L. C., Costa, M. F. O., Eifert, E. C., et al. (2021). Genome-enabled prediction of meat and carcass traits using Bayesian regression, single-step genomic best linear unbiased prediction and blending methods in Nelore cattle. Animal, 15( 1), 1-7. doi:10.1016/j.animal.2020.100006NLM
Lopes FB, Baldi F, Passafaro TL, Brunes LC, Costa MFO, Eifert EC, Narciso MG, Rosa GJM, Lôbo RB, Magnabosco CU. Genome-enabled prediction of meat and carcass traits using Bayesian regression, single-step genomic best linear unbiased prediction and blending methods in Nelore cattle [Internet]. Animal. 2021 ; 15( 1): 1-7.[citado 2024 out. 16 ] Available from: https://doi.org/10.1016/j.animal.2020.100006Vancouver
Lopes FB, Baldi F, Passafaro TL, Brunes LC, Costa MFO, Eifert EC, Narciso MG, Rosa GJM, Lôbo RB, Magnabosco CU. Genome-enabled prediction of meat and carcass traits using Bayesian regression, single-step genomic best linear unbiased prediction and blending methods in Nelore cattle [Internet]. Animal. 2021 ; 15( 1): 1-7.[citado 2024 out. 16 ] Available from: https://doi.org/10.1016/j.animal.2020.100006